Dual-t-snakes model for medical imaging segmentation
Pattern Recognition Letters - Special issue: Sibgrapi 2001
Multi-classifier framework for atlas-based image segmentation
Pattern Recognition Letters
Interactive segmentation of image volumes with Live Surface
Computers and Graphics
Function-based visualization and haptic rendering in shared virtual spaces
The Visual Computer: International Journal of Computer Graphics
Collaboration in 3D Shared Spaces Using X3D and VRML
CW '09 Proceedings of the 2009 International Conference on CyberWorlds
Integrating spatial fuzzy clustering with level set methods for automated medical image segmentation
Computers in Biology and Medicine
A framework for visual and haptic collaboration in shared virtual spaces
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part III
Homogeneity- and density distance-driven active contours for medical image segmentation
Computers in Biology and Medicine
Object information based interactive segmentation for fatty tissue extraction
Computers in Biology and Medicine
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MRI segmentation is a process of deriving semantic information from volume data. For brain MRI data, segmentation is initially performed at a voxel level and then continued at a brain surface level by generating its approximation. While successful most of the time, automated brain segmentation may leave errors which have to be removed interactively by editing individual 2D slices. We propose an approach for correcting these segmentation errors in 3D modeling space. We actively use the brain surface, which is estimated (potentially wrongly) in the automated FreeSurfer segmentation pipeline. It allows us to work with the whole data set at once, utilizing the context information and correcting several slices simultaneously. Proposed heuristic editing support and automatic visual highlighting of potential error locations allow us to substantially reduce the segmentation time. The paper describes the implementation principles of the proposed software tool and illustrates its application.